This workflow creates an intelligent automation system that enables users to interact with their database via chat, query data, and generate visual charts dynamically. Triggered by a chat message, the system uses multiple AI agents and tools to process user prompts, execute SQL queries on a Postgres/Supabase database, and generate custom charts through QuickChart.io. The workflow includes steps for database schema introspection, chat memory management, and chart configuration, making it ideal for real-time data insights and reporting. Use cases include interactive data dashboards, customer inquiries analysis, or automated reporting within WordPress sites to enhance data-driven decision-making.
AI-Driven Data Visualization with n8n and WordPress
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, httpRequest, postgresTool, set, stickyNote, switch |
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